A Patch-Based Non-local Means Method for Image Denoising. - Shaobo Dang; Yanning Zhang 001; Dong Gong (IScIDE, 2012)

Neighbor combination for atmospheric turbulence image reconstruction. - Dong Gong; Yanning Zhang 001; Shaobo Dang; Jinqiu Sun (ICIP, 2013)

Joint Motion Deblurring with Blurred/Noisy Image Pair. - Haisen Li; Yanning Zhang 001; Jinqiu Sun; Dong Gong (ICPR, 2014)

Explicit solutions for a hierarchy of differential-difference equations. - Dong Gong; Xianguo Geng (Appl. Math. Comput., 2014)

Blind Image Deconvolution by Automatic Gradient Activation. - Dong Gong; Mingkui Tan; Yanning Zhang 001; Anton van den Hengel; Qinfeng Shi (CVPR, 2016)

MPGL: An Efficient Matching Pursuit Method for Generalized LASSO. - Dong Gong; Mingkui Tan; Yanning Zhang 001; Anton van den Hengel; Qinfeng Shi (AAAI, 2017)

From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur. - Dong Gong; Jie Yang 002; Lingqiao Liu; Yanning Zhang 001; Ian D. Reid 001; Chunhua Shen; Anton van den Hengel; Qinfeng Shi (CVPR, 2017)

Self-Paced Kernel Estimation for Robust Blind Image Deblurring. - Dong Gong; Mingkui Tan; Yanning Zhang 001; Anton van den Hengel; Qinfeng Shi (ICCV, 2017)

Deblurring Natural Image Using Super-Gaussian Fields. - Yuhang Liu 002; Wenyong Dong; Dong Gong; Lei Zhang 054; Qinfeng Shi (ECCV (1), 2018)

Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal. - Jie Yang 002; Dong Gong; Lingqiao Liu; Qinfeng Shi (ECCV (3), 2018)

Learning an Optimizer for Image Deconvolution. - Dong Gong; Zhen Zhang 008; Qinfeng Shi; Anton van den Hengel; Chunhua Shen; Yanning Zhang 001 (CoRR, 2018)

Variational Bayesian Dropout. - Yuhang Liu 002; Wenyong Dong; Lei Zhang 054; Dong Gong; Qinfeng Shi (CoRR, 2018)

Blind image deblurring by promoting group sparsity. - Dong Gong; Rui Li 013; Yu Zhu 004; Haisen Li; Jinqiu Sun; Yanning Zhang 001 (Neurocomputing, 2018)

Knowledge Adaptation for Efficient Semantic Segmentation. - Tong He 001; Chunhua Shen; Zhi Tian; Dong Gong; Changming Sun; Youliang Yan (CVPR, 2019)

RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion. - Jie Li 040; Yu Liu 029; Dong Gong; Qinfeng Shi; Xia Yuan; Chunxia Zhao; Ian D. Reid 001 (CVPR, 2019)

Variational Bayesian Dropout With a Hierarchical Prior. - Yuhang Liu 002; Wenyong Dong; Lei Zhang 054; Dong Gong; Qinfeng Shi (CVPR, 2019)

Attention-Guided Network for Ghost-Free High Dynamic Range Imaging. - Qingsen Yan; Dong Gong; Qinfeng Shi; Anton van den Hengel; Chunhua Shen; Ian D. Reid 001; Yanning Zhang 001 (CVPR, 2019)

Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection. - Dong Gong; Lingqiao Liu; Vuong Le; Budhaditya Saha; Moussa Reda Mansour; Svetha Venkatesh; Anton van den Hengel (ICCV, 2019)

Robust and Accurate Hybrid Structure-From-Moti. - Rui Li 013; Dong Gong; Jinqiu Sun; Yu Zhu 004; Ziwei Wei; Yanning Zhang 001 (ICIP, 2019)

End-To-End Diagnosis And Segmentation Learning From Cardiac Magnetic Resonance Imaging. - Gerard Snaauw; Dong Gong; Gabriel Maicas; Anton van den Hengel; Wiro J. Niessen; Johan Verjans; Gustavo Carneiro 001 (ISBI, 2019)

Multi-Scale Dense Networks for Deep High Dynamic Range Imaging. - Qingsen Yan; Dong Gong; Pingping Zhang; Qinfeng Shi; Jinqiu Sun; Ian David Reid; Yanning Zhang 001 (WACV, 2019)

An Effective Two-Branch Model-Based Deep Network for Single Image Deraining. - Yinglong Wang 002; Dong Gong; Jie Yang 002; Qinfeng Shi; Anton van den Hengel; Dehua Xie; Bing Zeng (CoRR, 2019)

Regularizing Proxies with Multi-Adversarial Training for Unsupervised Domain-Adaptive Semantic Segmentation. - Tong Shen; Dong Gong; Wei Zhang 031; Chunhua Shen; Tao Mei 001 (CoRR, 2019)

Part-Guided Attention Learning for Vehicle Re-Identification. - Xinyu Zhang 015; Rufeng Zhang; Jiewei Cao; Dong Gong; Mingyu You; Chunhua Shen (CoRR, 2019)

ARSAC: Efficient model estimation via adaptively ranked sample consensus. - Rui Li 013; Jinqiu Sun; Dong Gong; Yu Zhu 004; Haisen Li; Yanning Zhang 001 (Neurocomputing, 2019)

MPTV: Matching Pursuit-Based Total Variation Minimization for Image Deconvolution. - Dong Gong; Mingkui Tan; Qinfeng Shi; Anton van den Hengel; Yanning Zhang 001 (IEEE Trans. Image Process., 2019)

An Adaptive Markov Random Field for Structured Compressive Sensing. - Suwichaya Suwanwimolkul; Lei Zhang 054; Dong Gong; Zhen Zhang 008; Chao Chen 012; Damith Chinthana Ranasinghe; Qinfeng (Javen) Shi (IEEE Trans. Image Process., 2019)

Two-Stream Convolutional Networks for Blind Image Quality Assessment. - Qingsen Yan; Dong Gong; Yanning Zhang 001 (IEEE Trans. Image Process., 2019)

Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation. - Tong He 001; Dong Gong; Zhi Tian; Chunhua Shen (ECCV (18), 2020)

Memorizing Comprehensively to Learn Adaptively: Unsupervised Cross-Domain Person Re-ID with Multi-level Memory. - Xinyu Zhang 015; Dong Gong; Jiewei Cao; Chunhua Shen (CoRR, 2020)

COVID-19 Chest CT Image Segmentation - A Deep Convolutional Neural Network Solution. - Qingsen Yan; Bo Wang 011; Dong Gong; Chuan Luo 003; Wei Zhao; Jianhu Shen; Qinfeng Shi; Shuo Jin; Liang Zhang 010; Zheng You (CoRR, 2020)

Learning Distilled Graph for Large-Scale Social Network Data Clustering. - Wenhe Liu; Dong Gong; Mingkui Tan; Qinfeng (Javen) Shi; Yi Yang 001; Alexander G. Hauptmann (IEEE Trans. Knowl. Data Eng., 2020)

Learning Deep Gradient Descent Optimization for Image Deconvolution. - Dong Gong; Zhen Zhang 008; Qinfeng Shi; Anton van den Hengel; Chunhua Shen; Yanning Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

A Comprehensive CT Dataset for Liver Computer Assisted Diagnosis. - Qingsen Yan; Bo Wang 011; Dong Gong; Dingwen Zhang; Yang Yang 009; Zheng You; Yanning Zhang 001; Javen Qinfeng Shi (BMVC, 2021)

Semi-supervised Learning via Conditional Rotation Angle Estimation. - Hai-Ming Xu; Lingqiao Liu; Dong Gong (DICTA, 2021)

Memory-augmented Dynamic Neural Relational Inference. - Dong Gong; Zhen Zhang 008; Qinfeng (Javen) Shi; Anton van den Hengel (ICCV, 2021)

Image editing with varying intensities of processing. - Yasi Wang; Yuankai Qi; Hongxun Yao; Dong Gong; Qi Wu 001 (Comput. Vis. Image Underst., 2021)

Boundarymix: Generating pseudo-training images for improving segmentation with scribble annotations. - Wanxuan Lu; Dong Gong; Kun Fu 001; Xian Sun; Wenhui Diao; Lingqiao Liu (Pattern Recognit., 2021)

COVID-19 Chest CT Image Segmentation Network by Multi-Scale Fusion and Enhancement Operations. - Qingsen Yan; Bo Wang 011; Dong Gong; Chuan Luo 003; Wei Zhao; Jianhu Shen; Jingyang Ai; Qinfeng Shi; Yanning Zhang 001; Shuo Jin; Liang Zhang 010; Zheng You (IEEE Trans. Big Data, 2021)

Learning to Zoom-In via Learning to Zoom-Out: Real-World Super-Resolution by Generating and Adapting Degradation. - Wei Sun 036; Dong Gong; Qinfeng Shi; Anton van den Hengel; Yanning Zhang 001 (IEEE Trans. Image Process., 2021)

Learning Sparse PCA with Stabilized ADMM Method on Stiefel Manifold. - Mingkui Tan; Zhibin Hu; Yuguang Yan; Jiezhang Cao; Dong Gong; Qingyao Wu (IEEE Trans. Knowl. Data Eng., 2021)

Deep Single Image Deraining via Modeling Haze-Like Effect. - Yinglong Wang 002; Dong Gong; Jie Yang 002; Qinfeng Shi; Anton van den Hengel; Dehua Xie; Bing Zeng (IEEE Trans. Multim., 2021)

NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results. - Eduardo Pérez-Pellitero; Sibi Catley-Chandar; Richard Shaw; Ales Leonardis; Radu Timofte; Zexin Zhang; Cen Liu; Yunbo Peng; Yue Lin 002; Gaocheng Yu; Jin Zhang; Zhe Ma; et al. (CVPR Workshops, 2022)

Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning. - Qingsen Yan; Dong Gong; Yuhang Liu 002; Anton van den Hengel; Javen Qinfeng Shi (CVPR, 2022)

A Lightweight Network for High Dynamic Range Imaging. - Qingsen Yan; Song Zhang; Weiye Chen; Yuhang Liu 002; Zhen Zhang 008; Yanning Zhang 001; Javen Qinfeng Shi; Dong Gong (CVPR Workshops, 2022)

Truncated Matrix Power Iteration for Differentiable DAG Learning. - Zhen Zhang 008; Ignavier Ng; Dong Gong; Yuhang Liu 002; Ehsan Abbasnejad; Mingming Gong; Kun Zhang 001; Javen Qinfeng Shi (NeurIPS, 2022)

Weight-variant Latent Causal Models. - Yuhang Liu 002; Zhen Zhang 008; Dong Gong; Mingming Gong; Biwei Huang; Anton van den Hengel; Kun Zhang 001; Javen Qinfeng Shi (CoRR, 2022)

Identifying Latent Causal Content for Multi-Source Domain Adaptation. - Yuhang Liu 002; Zhen Zhang 008; Dong Gong; Mingming Gong; Biwei Huang; Kun Zhang 001; Javen Qinfeng Shi (CoRR, 2022)

The Neural Process Family: Survey, Applications and Perspectives. - Saurav Jha; Dong Gong; Xuesong Wang 002; Richard E. Turner; Lina Yao 001 (CoRR, 2022)

Dual-Attention-Guided Network for Ghost-Free High Dynamic Range Imaging. - Qingsen Yan; Dong Gong; Qinfeng (Javen) Shi; Anton van den Hengel; Chunhua Shen; Ian D. Reid 001; Yanning Zhang 001 (Int. J. Comput. Vis., 2022)

Video super-resolution via mixed spatial-temporal convolution and selective fusion. - Wei Sun 036; Dong Gong; Javen Qinfeng Shi; Anton van den Hengel; Yanning Zhang 001 (Pattern Recognit., 2022)

High dynamic range imaging via gradient-aware context aggregation network. - Qingsen Yan; Dong Gong; Qinfeng (Javen) Shi; Anton van den Hengel; Jinqiu Sun; Yu Zhu 004; Yanning Zhang 001 (Pattern Recognit., 2022)

Part-Guided Attention Learning for Vehicle Instance Retrieval. - Xinyu Zhang 015; Rufeng Zhang; Jiewei Cao; Dong Gong; Mingyu You; Chunhua Shen (IEEE Trans. Intell. Transp. Syst., 2022)

Learning to Fuse Monocular and Multi-view Cues for Multi-frame Depth Estimation in Dynamic Scenes. - Rui Li 013; Dong Gong; Wei Yin 006; Hao Chen 041; Yu Zhu 004; Kaixuan Wang; Xiaozhi Chen; Jinqiu Sun; Yanning Zhang 001 (CVPR, 2023)

Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition. - Junyan Wang 001; Zhenhong Sun; Yichen Qian; Dong Gong; Xiuyu Sun; Ming C. Lin; Maurice Pagnucco; Yang Song 001 (ICLR, 2023)

NPCL: Neural Processes for Uncertainty-Aware Continual Learning. - Saurav Jha; Dong Gong; He Zhao 001; Lina Yao 001 (NeurIPS, 2023)

RanPAC: Random Projections and Pre-trained Models for Continual Learning. - Mark D. McDonnell; Dong Gong; Amin Parvaneh; Ehsan Abbasnejad; Anton van den Hengel (NeurIPS, 2023)

Learning Informative Latent Representation for Quantum State Tomography. - Hailan Ma; Zhenhong Sun; Daoyi Dong; Dong Gong (CoRR, 2023)

FocDepthFormer: Transformer with LSTM for Depth Estimation from Focus. - Xueyang Kang; Fengze Han; Abdur Razzaq Fayjie; Dong Gong (CoRR, 2023)

SharpFormer: Learning Local Feature Preserving Global Representations for Image Deblurring. - Qingsen Yan; Dong Gong; Pei Wang; Zhen Zhang 008; Yanning Zhang 001; Javen Qinfeng Shi (IEEE Trans. Image Process., 2023)

FocDepthFormer: Transformer with Latent LSTM for Depth Estimation from Focal Stack. - Xueyang Kang; Fengze Han; Abdur Razzaq Fayjie; Patrick Vandewalle; Kourosh Khoshelham; Dong Gong (AI (1), 2024)

Learning with Mixture of Prototypes for Out-of-Distribution Detection. - Haodong Lu 002; Dong Gong; Shuo Wang 012; Jason Xue 002; Lina Yao 001; Kristen Moore (ICLR, 2024)

Identifiable Latent Polynomial Causal Models through the Lens of Change. - Yuhang Liu 002; Zhen Zhang 008; Dong Gong; Mingming Gong; Biwei Huang; Anton van den Hengel; Kun Zhang 001; Javen Qinfeng Shi (ICLR, 2024)

SDGE: Stereo Guided Depth Estimation for 360°Camera Sets. - Jialei Xu; Wei Yin; Dong Gong; Junjun Jiang; Xianming Liu (IROS, 2024)

EGGen: Image Generation with Multi-entity Prior Learning through Entity Guidance. - Zhenhong Sun; Junyan Wang 001; Zhiyu Tan; Daoyi Dong; Hailan Ma; Hao Li 030; Dong Gong (ACM Multimedia, 2024)

CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models. - Saurav Jha; Dong Gong; Lina Yao 001 (NeurIPS, 2024)

Revealing Multimodal Contrastive Representation Learning through Latent Partial Causal Models. - Yuhang Liu 002; Zhen Zhang 008; Dong Gong; Biwei Huang; Mingming Gong; Anton van den Hengel; Kun Zhang 001; Javen Qinfeng Shi (CoRR, 2024)

Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning. - Mark D. McDonnell; Dong Gong; Ehsan Abbasnejad; Anton van den Hengel (CoRR, 2024)

Identifiable Latent Neural Causal Models. - Yuhang Liu 002; Zhen Zhang 008; Dong Gong; Mingming Gong; Biwei Huang; Anton van den Hengel; Kun Zhang 001; Javen Qinfeng Shi (CoRR, 2024)

UIR-LoRA: Achieving Universal Image Restoration through Multiple Low-Rank Adaptation. - Cheng Zhang; Dong Gong; Jiumei He; Yu Zhu 004; Jinqiu Sun; Yanning Zhang 001 (CoRR, 2024)

Tokens on Demand: Token Condensation as Training-free Test-time Adaptation. - Zixin Wang; Dong Gong; Sen Wang 001; Zi Huang; Yadan Luo (CoRR, 2024)

Learning Mamba as a Continual Learner. - Chongyang Zhao 003; Dong Gong (CoRR, 2024)

Adaptive Rank, Reduced Forgetting: Knowledge Retention in Continual Learning Vision-Language Models with Dynamic Rank-Selective LoRA. - Haodong Lu 002; Chongyang Zhao 003; Minhui Xue 001; Lina Yao 001; Kristen Moore; Dong Gong (CoRR, 2024)

Continual All-in-One Adverse Weather Removal With Knowledge Replay on a Unified Network Structure. - De Cheng; Yanling Ji; Dong Gong; Yan Li 125; Nannan Wang 001; Junwei Han 001; Dingwen Zhang (IEEE Trans. Multim., 2024)

Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning. - Huiyi Wang 001; Haodong Lu 002; Lina Yao 001; Dong Gong (CVPR, 2025)

DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling. - Xin Xie; Dong Gong (CVPR, 2025)

D^3CTTA: Domain-Dependent Decorrelation for Continual Test-Time Adaption of 3D LiDAR Segmentation. - Jichun Zhao; Haiyong Jiang; Haoxuan Song; Jun Xiao 005; Dong Gong (CVPR, 2025)

Analytic DAG Constraints for Differentiable DAG Learning. - Zhen Zhang 008; Ignavier Ng; Dong Gong; Yuhang Liu 002; Mingming Gong; Biwei Huang; Kun Zhang 001; Anton van den Hengel; Javen Qinfeng Shi (ICLR, 2025)

Mining your own secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models. - Saurav Jha; Shiqi Yang; Masato Ishii; Mengjie Zhao; Christian Simon; Muhammad Jehanzeb Mirza; Dong Gong; Lina Yao 001; Shusuke Takahashi; Yuki Mitsufuji (ICLR, 2025)

Coreset Selection via Reducible Loss in Continual Learning. - Ruilin Tong; Yuhang Liu 002; Javen Qinfeng Shi; Dong Gong (ICLR, 2025)

Balancing Plasticity and Stability via Dual-Branch Learning in Online Continual Learning. - Xu Han; Haodong Lu 002; Huiyi Wang 001; Dong Gong (WWW (Companion Volume), 2025)

Latent Covariate Shift: Unlocking Partial Identifiability for Multi-Source Domain Adaptation. - Yuhang Liu 002; Zhen Zhang 008; Dong Gong; Mingming Gong; Biwei Huang; Anton van den Hengel; Kun Zhang 001; Javen Qinfeng Shi (Trans. Mach. Learn. Res., 2025)

Highway Graph to Accelerate Reinforcement Learning. - Zidu Yin; Zhen Zhang 008; Dong Gong; Stefano V. Albrecht; Javen Qinfeng Shi (Trans. Mach. Learn. Res., 2025)

Training-Free Motion-Guided Video Generation with Enhanced Temporal Consistency Using Motion Consistency Loss. - Xinyu Zhang 017; Zicheng Duan; Dong Gong; Lingqiao Liu (CoRR, 2025)

I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data? - Yuhang Liu 002; Dong Gong; Erdun Gao; Zhen Zhang 008; Biwei Huang; Mingming Gong; Anton van den Hengel; Javen Qinfeng Shi (CoRR, 2025)

Hierarchical and Step-Layer-Wise Tuning of Attention Specialty for Multi-Instance Synthesis in Diffusion Transformers. - Chunyang Zhang; Zhenhong Sun; Zhicheng Zhang; Junyan Wang 001; Yu Zhang 217; Dong Gong; Huadong Mo; Daoyi Dong (CoRR, 2025)

Socrates or Smartypants: Testing Logic Reasoning Capabilities of Large Language Models with Logic Programming-based Test Oracles. - Zihao Xu; Junchen Ding; Yiling Lou; Kun Zhang; Dong Gong; Yuekang Li (CoRR, 2025)

ai.txt: A Domain-Specific Language for Guiding AI Interactions with the Internet. - Yuekang Li; Wei Song; Bangshuo Zhu; Dong Gong; Yi Liu 069; Gelei Deng; Chunyang Chen 001; Lei Ma 003; Jun Sun 001; Toby Walsh; Jingling Xue (CoRR, 2025)

Continual Learning on CLIP via Incremental Prompt Tuning with Intrinsic Textual Anchors. - Haodong Lu 002; Xinyu Zhang 017; Kristen Moore; Minhui Xue 001; Lina Yao 001; Anton van den Hengel; Dong Gong (CoRR, 2025)

Let Your Video Listen to Your Music! - Xinyu Zhang 017; Dong Gong; Zicheng Duan; Anton van den Hengel; Lingqiao Liu (CoRR, 2025)

Training-Free Motion Customization for Distilled Video Generators with Adaptive Test-Time Distillation. - Jintao Rong; Xin Xie; Xinyi Yu; Linlin Ou; Xinyu Zhang 015; Chunhua Shen; Dong Gong (CoRR, 2025)

Little By Little: Continual Learning via Self-Activated Sparse Mixture-of-Rank Adaptive Learning. - Haodong Lu 002; Chongyang Zhao 003; Minhui Xue 001; Lina Yao 001; Kristen Moore; Dong Gong (CoRR, 2025)